Song Chen

2.7k total citations · 1 hit paper
12 papers, 928 citations indexed

About

Song Chen is a scholar working on Molecular Biology, Biological Psychiatry and Cellular and Molecular Neuroscience. According to data from OpenAlex, Song Chen has authored 12 papers receiving a total of 928 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Biological Psychiatry and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Song Chen's work include Tryptophan and brain disorders (5 papers), Single-cell and spatial transcriptomics (3 papers) and Stress Responses and Cortisol (2 papers). Song Chen is often cited by papers focused on Tryptophan and brain disorders (5 papers), Single-cell and spatial transcriptomics (3 papers) and Stress Responses and Cortisol (2 papers). Song Chen collaborates with scholars based in United States, China and Canada. Song Chen's co-authors include Blue B. Lake, Kun Zhang, Xiangyang Zhang, Nongluk Plongthongkum, Amanda Knoten, Derek Gao, Masato Hoshi, Anitha Vijayan, Joseph P. Gaut and Eric H. Kim and has published in prestigious journals such as Nature Communications, Nature Biotechnology and Nature Protocols.

In The Last Decade

Song Chen

11 papers receiving 917 citations

Hit Papers

High-throughput sequencing of the transcriptome and chrom... 2019 2026 2021 2023 2019 100 200 300 400

Peers

Song Chen
Comparison fields: 5 of 80
  • Molecular Biology 668
  • Cancer Research 152
  • Biological Psychiatry 125
  • Biophysics 93
  • Neurology 80
Replace Yonatan Perez with:
Yonatan Perez Israel
Xihui Liu China
Ka Ka Ting Australia
Brandon C. Sos United States
Erica A. K. DePasquale United States
Yu‐Wen Alvin Huang United States
Saba Shahin United States
Anh H. Pham United States
Geraint J. C. Wilde United Kingdom
Guillermo López‐Doménech United Kingdom
Yonatan Perez Israel View profile →
Citations per field, relative to Song Chen
Song Chen · 1×
Citations per year, relative to Song Chen
Song Chen · 1×

Countries citing papers authored by Song Chen

Since Specialization
Citations

This map shows the geographic impact of Song Chen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Song Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Song Chen more than expected).

Fields of papers citing papers by Song Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Song Chen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Song Chen. The network helps show where Song Chen may publish in the future.

Co-authorship network of co-authors of Song Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Song Chen. A scholar is included among the top collaborators of Song Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Song Chen. Song Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
# Work Indexed citations
1 1
2 24
3 26
4 21
5 164
6 10
7
High-throughput sequencing of the transcriptome and chromatin accessibility in the same cell breakdown →
495
8 61
9 33
10 60
11 33
12 0

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Rankless by CCL
2026